Patterns Sorting And Matching


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Patterns, Sorting and Matching


Patterns, Sorting and Matching

Author: Bev Dunbar

language: en

Publisher: Pascal Press

Release Date: 2003


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Preparing for numbers is vital step along the path to learning Maths. Excel Maths Early Skills: Patterns, Sorting and Matching will prepare your child for the important first skills of: seein g patterns sorting items into groups matching up items The activities in this book are divided into double pages . Each double page allows your child to practise one particular skill ma ny times so that the skill is reinforced. All books in this series have been rigorously trialled by parents with children in each age group to e nsure their success.

Combinatorial Pattern Matching


Combinatorial Pattern Matching

Author: Maxime Crochemore

language: en

Publisher: Springer Science & Business Media

Release Date: 1999-07-14


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This book constitutes the refereed proceedings of the 10th Annual Symposium on Combinatorial Pattern Matching, CPM 99, held in Warwick, UK in July 1999. The 21 revised papers presented were carefully reviewed and selected from 26 submissions. The papers address all current issues in combinatorial pattern matching dealing with a variety of classical objects like trees, regular expressions, graphs, point sets, and arrays as well as with DNA/RNA coding, WWW issues, information retrieval, data compression, and pattern recognition.

Combinatorial Pattern Matching


Combinatorial Pattern Matching

Author: Paolo Ferragina

language: en

Publisher: Springer Science & Business Media

Release Date: 2008-06-03


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This book constitutes the refereed proceedings of the 19th Annual Symposium on Combinatorial Pattern Matching, CPM 2008, held in Pisa, Italy, in June 2008. The 25 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 78 submissions. The papers address all areas related to combinatorial pattern matching and its applications, such as coding and data compression, computational biology, data mining, information retrieval, natural language processing, pattern recognition, string algorithms, string processing in databases, symbolic computing and text searching.